Papers
4
Total Citations
25
H-Index
3
About
Pritpal Dang’s research lies at the intersection of mobile sensor networks, robotic control, and distributed actuation. His most influential work, a 2006 paper on a LabVIEW-based test-bed for mobile sensor networks (15 citations), introduced a practical, off-the-shelf hardware platform that enabled rapid prototyping and experimentation in sensor-driven robotics. This contribution provided the research community with an accessible tool for studying coordinated sensing and control. Dang further advanced the field through his dissertation on potential field and neural network approaches for distributed control of discrete actuator and sensor arrays, developing strategies for sensing, classification, and actuation that were validated using humanoid robots. His work on simultaneous visual tracking and pose estimation for robotic actors demonstrated the integration of computer vision with real-time control, pushing the boundaries of human-robot interaction. Collectively, Dang’s research has laid foundational groundwork for scalable, decentralized robotic systems, offering both theoretical frameworks and practical implementations that continue to inform research in autonomous sensor networks and robotic dexterity.
Research Focus
Key Achievements
Top Papers
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